市場調查報告書
商品編碼
1370798
法律分析市場 - 2018-2028 年全球產業規模、佔有率、趨勢、機會和預測,按分析、部署類型、案例類型、最終用戶、地區和競爭細分Legal Analytics Market- Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028 Segmented By Analytics, By Deployment Type, By Case Type, By End User, By Region and Competition |
由於企業擴大採用基於雲端的法律分析解決方案,特別是在發展中國家,預計全球法律分析市場將在預測期內激增,以簡化協作、可擴展性、提高法律軟體整合以及法律軟體整合的發展。管理。法律分析可以幫助組織識別趨勢和模式,從而確定業務成長的時間和地點。透過了解這些模式,組織可以就如何擴大財務潛力、降低成本和贏得更多客戶做出更好的決策。它使企業有機會發現機會、增強成長潛力、提高效率、管理分佈在多個站點的資料,同時提高效能、可靠性和可擴展性。此外,人工智慧(AI)和機器學習(ML)在法律分析中的日益採用正在增加全球法律分析市場的需求。為了彌補複雜系統的損失,企業擴大利用法律分析服務來提供更有效率的數據驅動決策,並提高法律專業人員的法律能力。分析領域進行的眾多創新和產品發布預計將增強法律分析的功能。此外,組織對資料驅動決策(DDDM)方法的需求也推動了需求的成長。反過來,這預計將在預測期內推動市場成長。
市場概況 | |
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預測期 | 2024-2028 |
2022 年市場規模 | 19.2億美元 |
2028 年市場規模 | 61.6億美元 |
2023-2028 年年複合成長率 | 21.49% |
成長最快的細分市場 | 雲 |
最大的市場 | 北美洲 |
大資料分析技術在許多行業中變得無所不在,法律行業也不例外。由於科技的快速發展和對發展數位技能的日益重視,面向未來的組織不斷重新定義他們所尋求的法律程序。如今,律師事務所和企業法務部門擁有大量資料。這些資料包括帳單記錄、案卷記錄或訴訟結果以及與潛在客戶相關的電子郵件通訊和資訊等所有內容。為了理解這些資料並找到重要的模式和鏈接,組織需要人工智慧 (AI) 和機器學習 (ML) 的幫助。人工智慧和機器學習的整合正在幫助企業自動化各種與法律分析相關的操作,並減少員工需要完成的手動任務的數量。可以使用支援人工智慧的系統收集有關員工績效、敬業度、工作幸福感、職業目標、培訓要求和其他主題的即時見解。此外,刑事案件還會有證人證詞、多名證人以及其他資訊。確定這些刑事案件起訴成功的可能性。許多律師事務所已經實施了機器學習模型,利用歷史法院判決來產生案件結果。人工智慧演算法甚至能夠預測結果,以提高律師的工作效率、避免代價高昂的錯誤和訴訟結果。例如,世界經濟論壇最近的一項研究預測,到 2025 年,全球 7,500 萬個工作將由人工智慧自動化。此外,根據 2022 年 IBM 全球人工智慧採用指數,在 35% 的案例中,企業報告在其營運中使用了人工智慧,而 42% 的企業表示正在對其他案例進行調查。技術的進步有助於替換和升級法律分析,從而增強手動系統,不斷平衡員工和雇主之間的整體管理以保持法律穩定性。因此,人工智慧和機器學習在法律分析中的日益採用可能會推動預測期內全球法律分析市場的成長。
對即時洞察和預測來最佳化效能的需求凸顯了對資料驅動決策 (DDDM) 的需求。傳統上,法律行業在做出決策時依賴直覺和經驗,這導致了偏見和次優結果。為了克服偏見並做出與其策略相符的最佳管理決策,數據驅動的決策組織可以使用正確的 KPI 和工具,利用資料做出明智且經過驗證的決策。然而,律師事務所正在實施資料驅動的決策演算法,優先衡量其績效,加速公司的成長潛力,並透過利用資料解決任何問題,使他們能夠更好地管理、發展人才並保持競爭力。由於大多數法律從業人員通常會同時處理不同的案件,因此需要一種有效的方法來在最短的時間內了解案件的模式和結果。此外,許多企業正在整合基於資料驅動的決策法律分析,以獲得眾多好處,例如尖端的決策方法、更好的訴訟策略、減少營業額、發現詐欺和提高員工敬業度。因此,組織對數據驅動決策(DDDM)的需求不斷成長,正在推動預測期內全球法律分析市場的成長。
在物聯網和先進技術的推動下,預測性維護的普及確保了法律產業的長久發展。預測性維護正在成為律師事務所最大限度提高生產力、效率和獲利能力的越來越有價值的工具。透過利用最新的預測性維護工具和技術,律師事務所正在努力實現最佳結果。預測分析工具正在幫助法律專業人士預測法律案件的結果,識別潛在風險,預測客戶和員工流失,並制定更有效的法律策略。放置在汽車不同部件中的感測器即時監控車輛的工作狀態。根據收集的資料,在分析這些資料,就地系統會在需要任何特定服務時提供更新。例如,預測性維護可以幫助律師事務所識別潛在的成本節省領域,例如減少在某些任務上花費的時間或識別提高效率的機會。它還可以幫助律師事務所更好地管理其資源,例如人員和技術,以提高其利潤。此外,物聯網的整合正在利用預測性維護來增強傳動功能、最佳化引擎性能並保持車輛的結構穩定性。
全球法律分析市場分為分析、部署類型、案例類型和最終用戶。根據分析,市場分為預測性、規範性和描述性。根據部署類型,市場分為雲端和本地。依案件類型,市場分為商業案件管理、反壟斷管理、智慧財產權管理等。根據最終用戶,市場分為律師事務所、企業、政府實體等。
Wolters Kluwer NV、微軟公司、湯森路透公司、UnitedLex Corporation、Mindcrest Inc.、LexisNexis (RELX Plc)、Wipro Limited、Abacus Data Systems, Inc.、Clarivate Analytics Plc 和IBM Corporation 是推動這一趨勢的主要參與者。全球法律分析市場的成長。
在本報告中,除了以下詳細介紹的產業趨勢外,全球法律分析市場也分為以下幾類:
(註:公司名單可依客戶要求客製化。)
Global legal analytics market is predicted to proliferate during the forecast period due to the increasing adoption of cloud-based legal analytics solutions, especially in developing countries by enterprises to streamline collaboration, scalability, improve legal software integration along with the development of more enhancement in legal management. Legal analytics can help organisations identify trends and patterns that pinpoint when and where business growth occurs. By understanding these patterns, organizations can make better decisions about how to scale the financial potential, reduce costs and gain more clients. It gives businesses the opportunity to undiscover opportunities and strengthen its growth potential, increase efficiency, manage data spread across several sites while enhancing performance, dependability, and scalability. Additionally, increasing adoption of artificial intelligence (AI) and machine learning (ML) in legal analytics are increasing the demand of global legal analytics market. To compensate for the losses in complexity systems, businesses are increasingly utilising legal analytics services to offer more productive and take data-driven decisions and increasing legal capability for the legal professionals. Numerous innovations and product launch carried out in analytics are expected to enhance the features of legal analytics. Furthermore, the need for organizations to make Data-driven Decision Making (DDDM) approach has aided in risen the demand. This, in turn, is expected to drive market growth during the forecast period.
Legal analytics is the practice of using data to inform decisions about issues that have an impact on law firms and attorneys, such as matter forecasting, legal strategy, and resource management. It is the science of gaining knowledge through analyzing vast amounts of data. In practice, legal analytics tools, provides a competitive advantage by offering unparalleled transparency and insight into in-house counsel members, departments, and decision-makers, enabling lawyers make data-driven decisions on which to build their legal strategies. The legal analytics market is becoming more widespread as more organizations recognize its value. In addition, the main purpose of legal analytics is to optimize and facilitate the hiring process and enable the law firms to gain transparency between the attorney and a potential client. The law firms are integrating technology and business insights in which legal analytics plays an essential component. Moreover, to achieve business goals, enterprises are increasing utilizing the legal analytics as a tool to streamlining eDiscovery, facilitating law firm marketing, and increasing client satisfaction, promoting lawyer productivity, improving legal research, and deciding legal actions with knowledge and risk in mind. These Legal analytics are generally used in enhancing legal reporting, evaluating KPIs, collecting data, and provide transparency to the legal authorities, among others.
Market Overview | |
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Forecast Period | 2024-2028 |
Market Size 2022 | USD 1.92 Billion |
Market Size 2028 | USD 6.16 Billion |
CAGR 2023-2028 | 21.49% |
Fastest Growing Segment | Cloud |
Largest Market | North America |
Big data analytics technologies are becoming omnipresent in many industries, and the legal sector is no exception. Future-ready organizations are continuously redefining the legal process they seek because of quickly evolving technology and an increased emphasis on developing digital skills. Nowadays, there are enormous amounts of data available in legal firms and corporate legal departments. This data includes everything from billing records, docket records, or litigation outcomes, and email communications and information related to potential clients. To understand this data and find significant patterns and links, organizations require the aid of artificial intelligence (AI) and machine learning (ML). The integration of AI and machine learning are aiding enterprises to automate a variety of legal analytics-related operations and reducing the number of manual tasks that employees need to complete. Real-time insights regarding employee performance, engagement levels, work happiness, career goals, training requirements, and other topics may be gathered using systems that are AI-enabled. Moreover, criminal cases come with witness statements, several witnesses, and other information. To identify these criminal cases with the likelihood of success in prosecution. Many law firms have implemented machine learning models to produce the outcome of cases using historical court judgments. AI algorithms are even capable of forecasting results for increasing attorney productivity, avoid costly mistakes, and litigation outcomes. For instance, a recent study by the World Economic Forum projects that by 2025, 75 million jobs worldwide will be automated by AI. Moreover, according to IBM Global AI Adoption Index 2022, in 35% of cases, enterprises reported employing AI in their operations, while 42% said they are investigating it in other cases. The advancement in technologies is aiding in replacing and upgrading the legal analytics enabling the enhancement of manual systems, constantly balancing the overall management between employee and employers to maintain legal stability. Therefore, the increasing adoption of artificial intelligence and machine learning in legal analytics might be propelling the growth of global legal analytics market in the forecast period.
The need for real-time insights and predictions to optimize the performance has highlighted the requirement for Data-driven Decision Making (DDDM). Traditionally the law industry has relied on intuition and experience while making decisions, which has led to biases and suboptimal outcomes. To overcome the biases and making the best managerial rulings that are aligned with their strategies, the data-driven decision-making organizations can use data to make informed and verified decisions by using the right KPI's and tools. However, law firms are implementing the data driven decision making algorithms to prioritizes measuring its performance, accelerating the firm's growth potential, and addressing any issues by making use of data, enabling them to manage better and develop their talent and stay competitive. As most of the legal practitioners generally handle different cases simultaneously, there is a need for an effective approach to understand the patterns and outcome of the cases within a minimal time. Moreover, many enterprises are integrating data driven based decision-making legal analytics for numerous benefits such as cutting-edge decision-making approach, better litigation strategy, reduced turnover, spotting fraud, and enhanced employee engagement. Thus, the growing need for organizations to make Data-Driven Decision Making (DDDM) are driving the growth of global legal analytics market in the forecast period.
The proliferation of predictive maintenance, powered by IoT and advanced technologies, ensures a long life for the legal industry. Predictive maintenance is becoming an increasingly valuable tool for law firms to maximize their productivity, efficiency, and profitability. By leveraging the latest predictive maintenance tools and technologies, law firms are trying to achieve optimal results. Predictive analytics tools are aiding legal professionals to forecast the outcomes of legal cases, identify potential risks, predict client & employee churn, and develop more effective legal strategies. Sensors placed in different car components monitor the vehicle's working status in real-time. Based on the collected data, on analyzing this data, the in-place system gives updates when any specific service is required. For instance, predictive maintenance can help law firms identify areas of potential cost savings, such as reducing the amount of time spent on certain tasks or identifying opportunities for improved efficiency. It can also help law firms better manage their resources, such as personnel and technology, to improve their bottom line. Moreover, the integration of IoT is leveraging predictive maintenance to enhance transmission function, optimize the engine performance, and maintain the structural stability of vehicles.
The global legal analytics market is segmented into analytics, deployment type, case type, and end user. Based on analytics, the market is segmented into predictive, prescriptive, and descriptive. Based on deployment type, the market is bifurcated into cloud and on-premises. Based on case type, the market is segmented into commercial case management, antitrust management, intellectual property management, and others. Based on end users, the market is segmented into legal firms, corporate, government entities, and others.
Wolters Kluwer NV, Microsoft Corporation, Thomson Reuters Corporation, UnitedLex Corporation, Mindcrest Inc., LexisNexis (RELX Plc), Wipro Limited, Abacus Data Systems, Inc., Clarivate Analytics Plc, and IBM Corporation are among the major players that are driving the growth of the global legal analytics market.
In this report, the global legal analytics market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
(Note: The companies list can be customized based on the client requirements.)